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Evaluation of the impacts of BMPs and tailwater recovery system on surface and groundwater using satellite imagery and SWAT reservoir function

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  • Ni, Xiaojing
  • Parajuli, Prem B.

Abstract

For an agricultural watershed, best management practice (BMP) is a conservational way to prevent non-point source pollution and soil and water loss. Three BMPs, including tail water recovery pond, conservational tillage, and crop rotation, were evaluated in order to demonstrate the impacts of BMPs on water quality and quantity. Satellite imagery was used to estimate potential tailwater recovery ponds in this study. The Soil and Water Assessment Tool (SWAT) was applied to evaluate BMPs. Results showed that the use of conservational tillage reduced cumulative sediment, total nitrogen (TN), and total phosphorus (TP) yields. In the crop rotation scenario analysis, it was found that sediment and flow were not sensitive to crop rotation management. The corn-soybean rotation scenario had higher TN and lower TP yields than those of the continuous corn scenario. Continuous soybean scenario showed the lowest TN and low TP yields, which may because of the higher nitrogen fertilization demands, greater crop yield, and greater residue of corn than soybean crop. Based on the SWAT model simulation results, the tailwater ponds can reduce sediment yield and improve groundwater storage.

Suggested Citation

  • Ni, Xiaojing & Parajuli, Prem B., 2018. "Evaluation of the impacts of BMPs and tailwater recovery system on surface and groundwater using satellite imagery and SWAT reservoir function," Agricultural Water Management, Elsevier, vol. 210(C), pages 78-87.
    • Handle: RePEc:eee:agiwat:v:210:y:2018:i:c:p:78-87
    DOI: 10.1016/j.agwat.2018.07.027
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    References listed on IDEAS

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    1. Dakhlalla, Abdullah O. & Parajuli, Prem B. & Ouyang, Ying & Schmitz, Darrel W., 2016. "Evaluating the impacts of crop rotations on groundwater storage and recharge in an agricultural watershed," Agricultural Water Management, Elsevier, vol. 163(C), pages 332-343.
    2. Karlen, D. L. & Hurley, E. & Andrews, S & Cambardella, C. & Meek, M. & Duffy, Michael & Mallarenio, A., 2006. "Crop Rotation Effects on Soil Quality at Three Northern Corn/Soybean Locations," Staff General Research Papers Archive 12580, Iowa State University, Department of Economics.
    3. Seay, Edmond Eggleston, Jr., 1970. "Minimizing abatement costs of water pollutants from agriculture;a parametric linear programming approach," ISU General Staff Papers 197001010800005358, Iowa State University, Department of Economics.
    4. Parajuli, P.B. & Jayakody, P. & Sassenrath, G.F. & Ouyang, Y., 2016. "Assessing the impacts of climate change and tillage practices on stream flow, crop and sediment yields from the Mississippi River Basin," Agricultural Water Management, Elsevier, vol. 168(C), pages 112-124.
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    Cited by:

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    2. Avay Risal & Prem B. Parajuli, 2022. "Evaluation of the Impact of Best Management Practices on Streamflow, Sediment and Nutrient Yield at Field and Watershed Scales," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(3), pages 1093-1105, February.
    3. Xiaojing Ni & Prem B. Parajuli & Ying Ouyang, 2020. "Assessing Agriculture Conservation Practice Impacts on Groundwater Levels at Watershed Scale," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(4), pages 1553-1566, March.
    4. Vivek Venishetty & Prem B. Parajuli, 2022. "Assessment of BMPs by Estimating Hydrologic and Water Quality Outputs Using SWAT in Yazoo River Watershed," Agriculture, MDPI, vol. 12(4), pages 1-14, March.
    5. Dipesh Nepal & Prem B. Parajuli, 2022. "Assessment of Best Management Practices on Hydrology and Sediment Yield at Watershed Scale in Mississippi Using SWAT," Agriculture, MDPI, vol. 12(4), pages 1-19, April.
    6. Lingyan Xu & Jing Jiang & Mengyi Lu & Jianguo Du, 2022. "Spatial-Temporal Evolution Characteristics of Agricultural Intensive Management and Its Influence on Agricultural Non-Point Source Pollution in China," Sustainability, MDPI, vol. 15(1), pages 1-22, December.
    7. Ricci, Giovanni Francesco & D’Ambrosio, Ersilia & De Girolamo, Anna Maria & Gentile, Francesco, 2022. "Efficiency and feasibility of Best Management Practices to reduce nutrient loads in an agricultural river basin," Agricultural Water Management, Elsevier, vol. 259(C).
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    9. Xuekai Chen & Guojian He & Xiaobo Liu & Bogen Li & Wenqi Peng & Fei Dong & Aiping Huang & Weijie Wang & Qiuyue Lian, 2021. "Sub-Watershed Parameter Transplantation Method for Non-Point Source Pollution Estimation in Complex Underlying Surface Environment," Land, MDPI, vol. 10(12), pages 1-25, December.
    10. Feng, Gary & Jin, Wei & Ouyang, Ying & Huang, Yanbo, 2024. "The role of changing land use and irrigation scheduling in groundwater depletion mitigation in a humid region," Agricultural Water Management, Elsevier, vol. 291(C).
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